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Author: A. Scheinker


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Reference
A. Scheinker, R. W. Garnett, D. Rees, D. K. Bohler, A. L. Edelen, and S. V. Milton, “Applying Artificial Intelligence to Accelerators”, in Proc. 9th Int. Particle Accelerator Conf. (IPAC'18), Vancouver, Canada, Apr.-May 2018, pp. 2925-2928.
S. Kwon et al., “A New Digital Feedback and Feedforward Controller for Cavity Field Control of the LANSCE Accelerator”, in Proc. 9th Int. Particle Accelerator Conf. (IPAC'18), Vancouver, Canada, Apr.-May 2018, pp. 2277-2280.
J. T. Bradley III, D. Rees, A. Scheinker, and R. L. Sheffield, “High Power RF Requirements for Driving Discontinuous Bunch Trains in the MaRIE Linac”, in Proc. 28th Linear Accelerator Conf. (LINAC'16), East Lansing, MI, USA, Sep. 2016, pp. 320-322.
A. Scheinker et al., “Preliminary Study of Advanced LLRF Controls at LANSCE for Beam Loading Compensation in the MaRIE X-FEL”, in Proc. North American Particle Accelerator Conf. (NAPAC'16), Chicago, IL, USA, Oct. 2016, pp. 411-413.
J. Wu, X. Huang, T. O. Raubenheimer, and A. Scheinker, “Recent On-Line Taper Optimization on LCLS”, in Proc. 38th Int. Free Electron Laser Conf. (FEL'17), Santa Fe, NM, USA, Aug. 2017, pp. 229-234.
A. Scheinker and D. K. Bohler, “Adaptive Feedback for Automatic Phase-Space Tuning of Electron Beams in Advanced XFELs”, in Proc. 38th Int. Free Electron Laser Conf. (FEL'17), Santa Fe, NM, USA, Aug. 2017, pp. 496-498.
A. Scheinker, “Adaptive Machine Learning and Feedback Control for Automatic Particle Accelerator Tuning”, in Proc. North American Particle Accelerator Conf. (NAPAC'19), Lansing, MI, USA, Sep. 2019, pp. 916-918.
A. Scheinker, “Adaptive Machine Learning and Automatic Tuning of Intense Electron Bunches in Particle Accelerators”, in Proc. North American Particle Accelerator Conf. (NAPAC'19), Lansing, MI, USA, Sep. 2019, pp. 609-613.
A. Scheinker, “Adaptive Feedback Control and Machine Learning for Particle Accelerators”, in Proc. 11th Int. Particle Accelerator Conf. (IPAC'20), Caen, France, May 2020, pp. 53.
A. Scheinker, “Adaptive Control and Machine Learning for Particle Accelerator Beam Control and Diagnostics”, in Proc. 10th Int. Beam Instrumentation Conf. (IBIC'21), Pohang, Korea, Sep. 2021, pp. 466-472.


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